Development and Validation of a Reinforcement Learning Algorithm to Dynamically Optimize Mechanical Ventilation in Critical Care

Two-Stage Visual Speech Recognition for Intensive Care Patients

Perception of the 2020 SARS-CoV-2 Pandemic among Medical Professionals in Germany

Telemedicine in Germany during the COVID-19 Pandemic: Multi-Professional National Survey.Only 135 characters allowed.

On the Use of Evolutionary Computation for In-Silico Medicine: Modelling Sepsis via Evolving Continuous Petri Nets.” In Applications of Evolutionary Computatio

Perception of the COVID-19 Pandemic among Pneumology Professionals in Germany

Standardized comparison of voice-based information and documentation systems to established systems in Intensive Care: A Cross-Sectional study.

Predicting abnormalities in laboratory values for patients in the intensive care unit using deep artificial neural networks

Impact of the COVID-19 Pandemic on Urologists in Germany

Artificial Intelligence and Machine Learning in Intensive Care Research and Clinical Application.

A Novel Hybrid Methodology for Anomaly Detection in Time Series. International Journal of Computational Intelligence Systems

Artificial Intelligence: Challenges and Applications in Intensive Care

Was Ist Neu… Einsatz von Künstlicher Intelligenz in der Intensivmedizin.

A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study

A Machine Learning Approach for the Classification of Disease Risks in Time Series

A Novel NLP-Fuzzy System Prototype for Information Extraction from Medical Guidelines.

Incremental Parameter Estimation of Stochastic State-Based Models.

Machine Learning in Future Intensive Care—Classification of Stochastic Petri Nets via Continuous-Time Markov Chains

Evo-RL: Evolutionary-Driven Reinforcement Learning

Exploration of unknown environments via evolution of behavioral and morphological properties of miniaturized sensory agents